The release of Generative AI Lab 7.4 brought new features to enhance annotation and configuration, as covered in Part 1. Now, in Part 2, we explore the practical improvements that...
In LLM evaluation, a single error like a hallucination in a drug interaction summary, can cause problems. It may lead to compliance issues or delays in clinical trials. In these...
Manual data labelling and slow validation trap AI projects in endless pilots and turn audit readiness into a moving target. Generative AI Lab breaks the cycle with a no-code workspace...
What does “regulatory-grade de-identification” mean in healthcare? Regulatory-grade de-identification refers to a comprehensive approach that transforms or removes Protected Health Information (PHI) to meet the highest standards of privacy laws,...
What is HIPAA-compliant de-identification with human-in-the-loop AI? HIPAA-compliant de-identification with human-in-the-loop (HITL) workflows combines AI predictions with structured human oversight to ensure sensitive health data is anonymized with the highest...
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